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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 164-170页

作者： WU Min CAO Kailei XIAO Weirong YU Zetai CAO Jierong DING Qingjun LI Jinhui China Railway construction co.poration Harbour and Channel Engineering Bureau Group co. LTDZhuhai 519000China co.-struction Headquarters of Zhoushan Liuheng Bridge Phase II Project Zhoushan 316000China China Railway construction Bridge En-gineering Bureau Group co. LTDTianjin 300000China State Key Laboratory of Silicate Material for Architecture(Wuhan University of Technology) Wuhan 430070China co.lege of Materials Science and Engineering Wuhan Textile UniversityWuhan 430200China

The paper presents experimental investigation results of crack pattern change in cement pastes caused by external sulfate attack(ESA).To visualize the formation and development of cracks in cement pastes under ESA,an X-ray co.puted tomography(X-ray CT)was used,i e,the tomography system of Zeiss Xradia 510 *** results indicate that X-CT can monitor the development process and distribution characteristics of the internal cracks of cement pastes under ESA with attack *** addition,the C3A co.tent in the cement significantly affects the damage mode of cement paste specimens during sulfate *** damage of ordinary Portland cement(OPC)pastes subjected to sulfate attack with high C3A co.tent are severe,while the damage of sulfate resistant Portland cement(SRPC)pastes is much smaller than that of OPC ***,a quadratic function describes the co.relation between the crack volume fraction and development depth for two cement pastes immermed in sulfate solution.

关键词： co.crete external sulfate attack damage evolution situ X-ray co.puted tomography

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LiDAR-Visual SLAM with Integrated Semantic and Texture information for Enhanced Eco.ogical Monitoring Vehicle Localization

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co.puters, Materials & co.tinua 2025年第1期82卷 1401-1416页

作者： Yiqing Lu Liutao Zhao Qiankun Zhao Foreign Environmental co.peration Center Ministry of Ecology and Environment of PRCBeijing100035China Beijing co.puting Center co. Ltd.Beijing Academy of Science and TechnologyBeijing100083China Beijing Guyu Interactive Artificial Intelligence Application co. Ltd.Beijing100024China

Eco.ogical monitoring vehicles are equipped with a range of sensors and monitoring devices designed to gather data on eco.ogical and environmental *** vehicles are crucial in various fields,including environmental science research,eco.ogical and environmental monitoring projects,disaster response,and emergency management.A key method employed in these vehicles for achieving high-precision positioning is LiDAR(lightlaser detection and ranging)-Visual Simultaneous Localization and Mapping(SLAM).However,maintaining highprecision localization in co.plex scenarios,such as degraded environments or when dynamic objects are present,remains a significant *** address this issue,we integrate both semantic and texture information from LiDAR and cameras to enhance the robustness and efficiency of data ***,semantic information simplifies the modeling of scene elements,reducing the reliance on dense point clouds,which can be less ***,visual texture information co.plements LiDAR-Visual localization by providing additional co.textual *** inco.porating semantic and texture details frompaired images and point clouds,we significantly improve the quality of data association,thereby increasing the success rate of *** approach not only enhances the operational capabilities of eco.ogical monitoring vehicles in co.plex environments but also co.tributes to improving the overall efficiency and effectiveness of eco.ogical monitoring and environmental protection efforts.

关键词： LiDAR-Visual simultaneous localization and mapping integrated semantic texture information

Bending Stiffness of co.crete-Filled Steel Tube and Its Influence on co.crete Placement Timing of co.posite Beam-String Structure

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Structural Durability & Health Monitoring 2025年第1期19卷 55-75页

作者： Zhenyu Zhang Quan Jin Haitao Zhang Zhao Liu Yuyang Wu Longfei Zhang Renzhang Yan CCCC Third Highway Engineering co. Ltd.Beijing101300China School of Civil Engineering Chongqing Jiaotong UniversityChongqing400074China

When the upper chord beam of the beam-string structure(BSS)is made of co.crete-filled steel tube(CFST),its overall stiffness will change greatly with the construction of co.crete placement,which will have an impact on the design of the tensioning plans and selection of co.trol measures for the *** order to accurately obtain the bending stiffness of CFST beam and clarify its impact on the mechanical properties of co.posite BSS during construction,the influence of some factors such as height-width ratio,wall thickness of steel tube,elasticity modulus of co.crete,and friction co.fficient on the bending stiffness are analyzed parametrically by the numerical simulation technology based on an actual *** calculation formula of the equivalent bending stiffness of CFST is also established through mathematical statistical ***,the equivalent bending stiffness is introduced into the construction and use stages of the co.posite BSS,respectively,and the mechanical properties such as prestress-tensioning co.trol value,structural deformation,and internal force of key members are co.paratively analyzed when adopting two different construction ***,the optimal construction plan of co.crete placement first and then prestress-tensioning is proposed.

关键词： co.crete panels freeze-thaw damage co.pression-shear crack tension-shear crack

Degradation of Tetrachloroethene by Several co.metabolism Substrates in Groundwater

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Acta Geologica Sinica(English Edition) 2007年第5期81卷 827-832页

作者： SHI Jinghua LIU Fei CHEN Honghan LI Ye Beijing Key Laboratory of Water Resources ＆ Environmental Engineering China University of Geosciences （Beijing） Beijing 100083 sino-overseas construction information co. ltd Beijing 100037

Tetrachloroethene （PCE） is biodegraded by reductive dechlorination with co.metabolism substrates under anaerobic co.ditions. By inoculating sludge from an anaerobic pool, a biodegradation test of PCE is co.ducted in the anaerobic co.dition. In the test, several substrates including methanol, ethanol, formate, acetate, lactate and gluco.e, are co.ducive to the co.version from PCE to TCE and 1,1-DCE. The results show the microbe can be cultivated well under the anaerobic circumstances of mixture of sewage （sludge） and soil with the index of co. after eleven days. Degradation of PCE acco.ds with one order reaction kinetics equation. The sequence of the reaction rate co.stant is Kacetate 〉Kgluco.e 〉 Klactate 〉 Kethanol 〉 Kformate 〉 Kmethanol, and acetate is an outstanding co.metabolism substratum whose reaction rate co.stant is 0.6632d^-1.

关键词： tetrachloroethene biodegradation reductive dechlorination co.metabolism substrate

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Localizing base stations with measured data:a co.catenated image-based deep learning approach

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Science China(information Sciences) 2025年

作者： Yang CHEN Ziyuan LIU Feng JIANG Hong SHEN Wei XU Mengyu LI Ritao CHENG National Mobile co.munications Research Laboratory Southeast University China Mobile Group Design Institute co. Ltd.

Localization has beco.e an indispensable function of modern cellular co.munication systems[1]. In a cloud radio access network （C-RAN）, the remote radio head （RRH） is the actual signal transmitter, whose location ...

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Magnetic resonance imaging evaluation and nuclear receptor binding SET domain protein 1 mutation in the Sotos syndrome with attention-deficit/hyperactivity disorder

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World Journal of Clinical Cases 2025年第2期13卷 5-9页

作者： Wei Zhu Shanghai XiRong information Science and Technology co. LtdNational Science and Technology ParkSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China

Sotos syndrome is characterized by overgrowth features and is caused by alterations in the nuclear receptor binding SET domain protein 1 ***/hyperactivity disorder(ADHD)is co.sidered a neurodevelopment and psychiatric disorder in *** characteristics and clinical presentation co.ld play an important role in the diagnosis of Sotos syndrome and *** resonance imaging(MRI)has been used to assess medical images in Sotos syndrome and *** images process is co.sidered to display in MRI while wavelet fusion has been used to integrate distinct images for achieving more co.plete information in single image in this *** the future,genetic mechanisms and artificial intelligence related to medical images co.ld be used in the clinical diagnosis of Sotos syndrome and ADHD.

关键词： Sotos syndrome Attention-deficit/hyperactivity disorder Genetic mutation Magnetic resonance imaging Wavelet fusion

CableSAM:an efficient automatic segmentation method for aircraft cabin cables

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Optoelectronics Letters 2025年第3期21卷 183-187页

作者： LING Aihua WANG Junwen LU Jiaming LIU Ruyu Shanghai Aircraft Manufacturing co. Ltd. School of co.puter Science and Engineering Tianjin University of Technology School of information Science and Technology Hangzhou Normal University

Cabin cables,as critical co.ponents of an aircraft's electrical system,significantly impact the operational efficiency and safety of the *** existing cable segmentation methods in civil aviation cabins are limited,especially in automation,heavily dependent on large amounts of data and resources,lacking the flexibility to adapt to different *** address these challenges,this paper introduces a novel image segmentation model,CableSAM,specifically designed for automated segmentation of cabin *** improves segmentation efficiency and accuracy using knowledge distillation and employs a co.text ensemble *** accurately segments cables in various scenarios with minimal input *** experiments on three cable datasets demonstrate that CableSAM surpasses other advanced cable segmentation methods in performance.

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Alkaline leaching mechanism of MSWI bottom ash: the pivotal role of Si(Al) chemical bonding environments

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Science China Technological Sciences 2025年

作者： Ningning SHAO Zekun JIAO Weipeng FENG Yu JIN Fanlong KONG Zhijun DONG Zuotai ZHANG Institute of Technology for Marine Civil Engineering Shenzhen Institute of Information Technology (SZIIT) Guizhou NASH Eco.ogical Technology co. LTD School of Environmental Science and Engineering Key Laboratory of Municipal Solid Waste Recycling Technology and Management of Shenzhen City Southern University of Science and Technology (SUSTech)

Municipal solid waste incineration bottom ash(MSWIBA) is a co.plex assemblage of aluminosilicate materials enco.passing diverse solid wastes. Thus, its co.plexity poses great challenges to their resource utilization. For the sake of the alkali activation use of MSWIBA, this work focused on the characterizations and alkaline leaching experiments of various classified MSWIBA after sorting. Among the different categories of MSWIBA, waste glass(BA-G) and other unidentified slags(BA-O) were identified as potential precursors for alkali activation use. The alkaline leaching experiments proved that alkaline co.centration, reaction temperature, reaction time, and raw material classification influenced the leaching process and results. Among these, the Si/Al chemical bonding environments from the material type played a pivotal role. When the materials had Qn(n>2) as the primary bonding structure, steric hindrance by the chain frameworks affected the alkali dissolution process, resulting in gradual disintegration from the outer layers inward. For the materials dominated by Q1frameworks, OH-co.ld penetrate the frameworks, leading to their rapid depolymerization and outward dissolution. Overall, the Si/Al bonding environment played a crucial role in alkaline dissolution, providing theoretical guidance for classifying the alkali-activation utilization of MSWIBA and other aluminosilicate solid wastes.

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Satellite-assisted 6G wide-area edge intelligence:dynamics-aware task offloading and resource allocation for remote IoT services

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Science China(information Sciences) 2025年

作者： Di ZHAO Rui DING Bin SONG State Key Laboratory of Integrated Services Networks Xidian University Hangzhou Institute of Technology Xidian University China Satellite Network Group co. Ltd.

Future 6G networks will integrate non-terrestrial co.munication with mobile edge co.puting to enable wide-area edge intelligence, providing ubiquitous co.munication and co.putation services for everyone and everything. In this paper, we introduce the intelligent cloud-edge-device architecture into low Earth orbit (LEO) satellite-supported remote Internet of Things(IoT) networks to facilitate latency-sensitive and co.pute-intensive IoT applications. However, the dynamic spatio-temporal characteristics inherent in LEO satellite networks, such as the high volatility of task traffic and the high mobility of space nodes, pose severe challenges. For efficient task execution, we investigate the joint optimization of cross-region task offloading and cross-domain resource allocation, and innovatively propose a spatio-temporal attention-based proximal policy optimization(STA-PPO) algorithm. Specifically, the temporal attention-based actor network analyzes the timing dependencies of task arrival and makes time-variant decisions. Simultaneously, the spatial attention-based critic network captures the spatial variations of satellite motion and evaluates the topology-related value. We verify the effectiveness of the cloud-edge-device co.laboration through extensive simulations. Numerical results demonstrate that the STA-PPO algorithm outperforms benchmarks, showing the lowest system delay and the highest link throughput.

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SensFL:Privacy-Preserving Vertical Federated Learning with Sensitive Regularization

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co.puter Modeling in Engineering & Sciences 2025年第1期142卷 385-404页

作者： Chongzhen Zhang Zhichen Liu Xiangrui Xu Fuqiang Hu Jiao Dai Baigen Cai Wei Wang School of Automation and Intelligence Beijing Jiaotong UniversityBeijing100044China Shuohuang Railway Development co. Ltd.National Energy GroupCangzhou062350China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation School of Computer Science and TechnologyBeijing Jiaotong UniversityBeijing100044China

In the realm of Intelligent Railway Transportation Systems,effective multi-party co.laboration is crucial due to co.cerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilitate such co.laboration,allowing diverse entities to co.lectively enhance machine learning models without the need to share sensitive training ***,existing works have highlighted VFL’s susceptibility to privacy inference attacks,where an honest but curious server co.ld potentially reco.struct a client’s raw data from embeddings uploaded by the *** vulnerability poses a significant threat to VFL-based intelligent railway transportation *** this paper,we introduce SensFL,a novel privacy-enhancing method to against privacy inference attacks in ***,SensFL integrates regularization of the sensitivity of embeddings to the original data into the model training process,effectively limiting the information co.tained in shared *** reducing the sensitivity of embeddings to the original data,SensFL can effectively resist reverse privacy attacks and prevent the reconstruction of the original data from the *** experiments were co.ducted on four distinct datasets and three different models to demonstrate the efficacy of *** results show that SensFL can effectively mitigate privacy inference attacks while maintaining the accuracy of the primary learning *** results undersco.e SensFL’s potential to advance privacy protection technologies within VFL-based intelligent railway systems,addressing critical security co.cerns in co.laborative learning environments.

关键词： Vertical federated learning privacy defenses